Cloudnet IWC during POLARSTERN cruise PS106

The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883). This variable was calculated from the 3...

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Bibliographic Details
Main Authors: Griesche, Hannes, Seifert, Patric, Engelmann, Ronny, Radenz, Martin, Bühl, Johannes
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
AC3
IWC
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.900246
https://doi.org/10.1594/PANGAEA.900246
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900246
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
DATE/TIME
Event label
File format
File name
File size
IWC
LiDAR
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-11
PS106_0_Underway-17
PS106/1
Remote sensing (Light detection and ranging
LiDAR)
Uniform resource locator/link to file
spellingShingle AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
DATE/TIME
Event label
File format
File name
File size
IWC
LiDAR
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-11
PS106_0_Underway-17
PS106/1
Remote sensing (Light detection and ranging
LiDAR)
Uniform resource locator/link to file
Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
Cloudnet IWC during POLARSTERN cruise PS106
topic_facet AC3
Arctic Amplification
ARK-XXXI/1.1,PASCAL
Cloudnet
DATE/TIME
Event label
File format
File name
File size
IWC
LiDAR
OCEANET-ATMOSPHERE
PASCAL
Polarstern
PS106
PS106_0_Underway-11
PS106_0_Underway-17
PS106/1
Remote sensing (Light detection and ranging
LiDAR)
Uniform resource locator/link to file
description The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883). This variable was calculated from the 35.5-GHz radar reflectivity factor after correction for gaseous attenuation, and temperature taken from a forecast model, using the following empirical formula: log10(iwc[g m-3]) = 0.000242Z[dBZ]T[degC] + 0.0699Z[dBZ] + -0.0186T[degC] + -1.63 (Hogan, 2006, doi:10.1175/JAM2340.1). In this formula Z is taken to be defined such that all frequencies of radar would measure the same Z in Rayleigh scattering ice. However, the radar is more likely to have been calibrated such that all frequencies would measure the same Z in Rayleigh scattering liquid cloud at 0 degrees C. The measured Z is therefore multiplied by |K(liquid,0degC,35GHz)|^2/0.93 = 0.9441 before applying this formula. The formula has been used where the \"categorization\" data has diagnosed that the radar echo is due to ice, but note that in some cases supercooled drizzle will erroneously be identified as ice. Missing data indicates either that ice cloud was present but it was only detected by the lidar so its ice water content could not be estimated, or that there was rain below the ice associated with uncertain attenuation of the reflectivities in the ice. Note that where microwave radiometer liquid water path was available it was used to correct the radar for liquid attenuation when liquid cloud occurred below the ice; this is indicated a value of 3 in the iwc_retrieval_status variable. There is some uncertainty in thisprodedure which is reflected by an increase in the associated values in the iwc_error variable. When microwave radiometer data were not available and liquid cloud occurred below the ice, the retrieval was still performed but its reliability is questionable due to the uncorrected liquid water attenuation. This is indicated by a value of 2 in the ...
format Dataset
author Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
author_facet Griesche, Hannes
Seifert, Patric
Engelmann, Ronny
Radenz, Martin
Bühl, Johannes
author_sort Griesche, Hannes
title Cloudnet IWC during POLARSTERN cruise PS106
title_short Cloudnet IWC during POLARSTERN cruise PS106
title_full Cloudnet IWC during POLARSTERN cruise PS106
title_fullStr Cloudnet IWC during POLARSTERN cruise PS106
title_full_unstemmed Cloudnet IWC during POLARSTERN cruise PS106
title_sort cloudnet iwc during polarstern cruise ps106
publisher PANGAEA
publishDate 2019
url https://doi.pangaea.de/10.1594/PANGAEA.900246
https://doi.org/10.1594/PANGAEA.900246
op_coverage MEDIAN LATITUDE: 73.557710 * MEDIAN LONGITUDE: 13.412315 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 79.842110 * EAST-BOUND LONGITUDE: 27.113210 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m
long_lat ENVELOPE(10.500,10.500,-70.417,-70.417)
ENVELOPE(5.402260,27.113210,79.842110,57.059650)
geographic Arctic
Mira
geographic_facet Arctic
Mira
genre Arctic
genre_facet Arctic
op_source Leibniz-Institut für Troposphärenforschung e.V., Leipzig
op_relation Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet IWC during PS106 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919452
Hogan, Robin J; Mittermaier, Marion P; Illingworth, Anthony J (2006): The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model. Journal of Applied Meteorology and Climatology, 45(2), 301-317, https://doi.org/10.1175/JAM2340.1
Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883
https://doi.pangaea.de/10.1594/PANGAEA.900246
https://doi.org/10.1594/PANGAEA.900246
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.90024610.1594/PANGAEA.91945210.1175/JAM2340.110.1175/BAMS-88-6-883
_version_ 1813446442522509312
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.900246 2024-10-20T14:07:32+00:00 Cloudnet IWC during POLARSTERN cruise PS106 Griesche, Hannes Seifert, Patric Engelmann, Ronny Radenz, Martin Bühl, Johannes MEDIAN LATITUDE: 73.557710 * MEDIAN LONGITUDE: 13.412315 * SOUTH-BOUND LATITUDE: 57.059650 * WEST-BOUND LONGITUDE: 5.402260 * NORTH-BOUND LATITUDE: 79.842110 * EAST-BOUND LONGITUDE: 27.113210 * DATE/TIME START: 2017-05-24T00:00:00 * DATE/TIME END: 2017-07-18T00:00:00 * MINIMUM ELEVATION: -512.0 m * MAXIMUM ELEVATION: -46.6 m 2019 text/tab-separated-values, 220 data points https://doi.pangaea.de/10.1594/PANGAEA.900246 https://doi.org/10.1594/PANGAEA.900246 en eng PANGAEA Griesche, Hannes; Seifert, Patric; Engelmann, Ronny; Radenz, Martin; Bühl, Johannes (2020): Cloudnet IWC during PS106 [dataset]. Leibniz-Institut für Troposphärenforschung e.V., Leipzig, PANGAEA, https://doi.org/10.1594/PANGAEA.919452 Hogan, Robin J; Mittermaier, Marion P; Illingworth, Anthony J (2006): The Retrieval of Ice Water Content from Radar Reflectivity Factor and Temperature and Its Use in Evaluating a Mesoscale Model. Journal of Applied Meteorology and Climatology, 45(2), 301-317, https://doi.org/10.1175/JAM2340.1 Illingworth, Anthony J; Hogan, Robin J; O'Connor, E J; Bouniol, D; Brooks, M E; Delanoé, J; Donovan, D P; Eastment, J D; Gaussiat, N; Goddard, J W F; Haeffelin, Martial; Klein Baltink, H; Krasnov, O A; Pelon, J; Piriou, J-M; Protat, Alain; Russchenberg, H W J; Seifert, A; Tompkins, A M; van Zadelhoff, G-J; Vinit, F; Willén, U; Wilson, D R; Wrench, C L (2007): Cloudnet: Continuous Evaluation of Cloud Profiles in Seven Operational Models Using Ground-Based Observations. Bulletin of the American Meteorological Society, 88(6), 883-898, https://doi.org/10.1175/BAMS-88-6-883 https://doi.pangaea.de/10.1594/PANGAEA.900246 https://doi.org/10.1594/PANGAEA.900246 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Leibniz-Institut für Troposphärenforschung e.V., Leipzig AC3 Arctic Amplification ARK-XXXI/1.1,PASCAL Cloudnet DATE/TIME Event label File format File name File size IWC LiDAR OCEANET-ATMOSPHERE PASCAL Polarstern PS106 PS106_0_Underway-11 PS106_0_Underway-17 PS106/1 Remote sensing (Light detection and ranging LiDAR) Uniform resource locator/link to file dataset 2019 ftpangaea https://doi.org/10.1594/PANGAEA.90024610.1594/PANGAEA.91945210.1175/JAM2340.110.1175/BAMS-88-6-883 2024-10-02T00:42:44Z The dataset contains daily nc-files of the Cloudnet ice water content during Polarstern cruise PS106 based on: - 35.5 GHz Cloud radar MIRA. The data is retrieved using the instrument synergystic approach Cloudnet (Illingworth, 2007, doi:10.1175/BAMS-88-6-883). This variable was calculated from the 35.5-GHz radar reflectivity factor after correction for gaseous attenuation, and temperature taken from a forecast model, using the following empirical formula: log10(iwc[g m-3]) = 0.000242Z[dBZ]T[degC] + 0.0699Z[dBZ] + -0.0186T[degC] + -1.63 (Hogan, 2006, doi:10.1175/JAM2340.1). In this formula Z is taken to be defined such that all frequencies of radar would measure the same Z in Rayleigh scattering ice. However, the radar is more likely to have been calibrated such that all frequencies would measure the same Z in Rayleigh scattering liquid cloud at 0 degrees C. The measured Z is therefore multiplied by |K(liquid,0degC,35GHz)|^2/0.93 = 0.9441 before applying this formula. The formula has been used where the \"categorization\" data has diagnosed that the radar echo is due to ice, but note that in some cases supercooled drizzle will erroneously be identified as ice. Missing data indicates either that ice cloud was present but it was only detected by the lidar so its ice water content could not be estimated, or that there was rain below the ice associated with uncertain attenuation of the reflectivities in the ice. Note that where microwave radiometer liquid water path was available it was used to correct the radar for liquid attenuation when liquid cloud occurred below the ice; this is indicated a value of 3 in the iwc_retrieval_status variable. There is some uncertainty in thisprodedure which is reflected by an increase in the associated values in the iwc_error variable. When microwave radiometer data were not available and liquid cloud occurred below the ice, the retrieval was still performed but its reliability is questionable due to the uncorrected liquid water attenuation. This is indicated by a value of 2 in the ... Dataset Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic Mira ENVELOPE(10.500,10.500,-70.417,-70.417) ENVELOPE(5.402260,27.113210,79.842110,57.059650)